PUBBLICAZIONE/PUBLICATION
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Item type:Publication, Quality of evidence revealing subtle gender biases in science is in the eye of the beholder Open PDF(Proceedings of the National Academy of Sciences, 2015) ;Handley, Ian M. ;Brown, Elizabeth R. ;Moss-Racusin, Corinne A.Smith, Jessi L.Scientists are trained to evaluate and interpret evidence without bias or subjectivity. Thus, growing evidence revealing a gender bias against women—or favoring men—within science, technology, engineering, and mathematics (STEM) settings is provocative and raises questions about the extent to which gender bias may contribute to women’s underrepresentation within STEM fields. To the extent that research illustrating gender bias in STEM is viewed as convincing, the culture of science can begin to address the bias. However, are men and women equally receptive to this type of experimental evidence? This question was tested with three randomized, double-blind experiments—two involving samples from the general public (n = 205 and 303, respectively) and one involving a sample of university STEM and non-STEM faculty (n = 205). In all experiments, participants read an actual journal abstract reporting gender bias in a STEM context (or an altered abstract reporting no gender bias in experiment 3) and evaluated the overall quality of the research. Results across experiments showed that men evaluate the gender-bias research less favorably than women, and, of concern, this gender difference was especially prominent among STEM faculty (experiment 2). These results suggest a relative reluctance among men, especially faculty men within STEM, to accept evidence of gender biases in STEM. This finding is problematic because broadening the participation of underrepresented people in STEM, including women, necessarily requires a widespread willingness (particularly by those in the majority) to acknowledge that bias exists before transformation is possible.Item type:Publication, Greater female first author citation advantages do not associate with reduced or reducing gender disparities in academia Open PDF(2020) ;Thelwall, M.Sud, P.Ongoing problems attracting women into many Science, Technology, Engineering and Mathematics (STEM) subjects have many potential explanations. This article investigates whether the possible undercitation of women associates with lower proportions of, or increases in, women in a subject. It uses six million articles published in 1996–2012 across up to 331 fields in six mainly English-speaking countries: Australia, Canada, Ireland, New Zealand, the United Kingdom and the United States. The proportion of female first-and last-authored articles in each year was calculated and 4,968 regressions were run to detect first-author gender advantages in field normalized article citations. The proportion of female first authors in each field correlated highly between countries and the female first-author citation advantages derived from the regressions correlated moderately to strongly between countries, so both are relatively field specific. There was a weak tendency in the United States and New Zealand for female citation advantages to be stronger in fields with fewer women, after excluding small fields, but there was no other association evidence. There was no evidence of female citation advantages or disadvantages to be a cause or effect of changes in the proportions of women in a field for any country. Inappropriate uses of career-level citations are a likelier source of gender inequities. © 2020 Mike Thelwall and Pardeep Sud. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.Item type:Publication, No evidence of citation bias as a determinant of STEM gender disparities in US biochemistry, genetics and molecular biology research Open PDF(2019) ;Thelwall, M.Nevill, T.The lack of females in many Science Technology, Engineering and Mathematics (STEM) subjects in the USA is an ongoing concern, with many initiatives attempting to redress this imbalance. Some life sciences are apparently areas of relatively good practice, with higher proportions of female researchers than most other STEM subjects. This paper assesses gender differences in research contributions to 14 biochemistry, genetics or molecular biology specialisms in the USA 1996–2014/8, seeking evidence of trends in publishing and citation impact that may give insights into female success. With four exceptions (biochemistry, biophysics, biotechnology, and structural biology), the fields achieved or maintained at least 40% female first authors by 2018, with developmental biology and endocrinology both attaining female first author majorities. A regression analysis found close to gender parity overall in citation impact but a small male first author citation advantage in more fields than the opposite: an up to 3% increase in logged citation ratio to the world mean. This was partly due to males first authoring with larger teams. Fields with relatively many females did not favour female-led research with more citations, however. © 2019, Akadémiai Kiadó, Budapest, Hungary.Item type:Publication, A gender bias habit-breaking intervention led to increased hiring of female faculty in STEMM departments Open PDF(Academic Press Inc., 2017) ;Devine, P.G. ;Forscher, P.S. ;Cox, W.T.L. ;Kaatz, A.Sheridan, J.Addressing the underrepresentation of women in science is a top priority for many institutions, but the majority of efforts to increase representation of women are neither evidence-based nor rigorously assessed. One exception is the gender bias habit-breaking intervention (Carnes et al., 2015), which, in a cluster-randomized trial involving all but two departmental clusters (N = 92) in the 6 STEMM focused schools/colleges at the University of Wisconsin–Madison, led to increases in gender bias awareness and self-efficacy to promote gender equity in academic science departments and perceptions of a more positive departmental climate. Following this initial success, the present study compares, in a preregistered analysis, hiring rates of new female faculty pre- and post-manipulation. Whereas the proportion of women hired by control departments remained stable over time, the proportion of women hired by intervention departments increased by an estimated 18 percentage points (OR = 2.23, dOR = 0.34). Though the preregistered analysis did not achieve conventional levels of statistical significance (p < 0.07), the study has a hard upper limit on statistical power, as the cluster-randomized trial has a maximum sample size of 92 departmental clusters. These findings, however, have undeniable practical significance for the advancement of women in science, and provide promising evidence that psychological interventions can facilitate gender equity and diversity. © 2017 Elsevier Inc.Item type:Publication, Understanding current causes of women's underrepresentation in science Open PDF(2011) ;Ceci, S.J.Williams, W.M.Explanations for women's underrepresentation in math-intensive fields of science often focus on sex discrimination in grant and manuscript reviewing, interviewing, and hiring. Claims that women scientists suffer discrimination in these arenas rest on a set of studies undergirding policies and programs aimed at remediation. More recent and robust empiricism, however, fails to support assertions of discrimination in these domains. To better understand women's underrepresentation in math-intensive fields and its causes, we reprise claims of discrimination and their evidentiary bases. Based on a review of the past 20 y of data, we suggest that some of these claims are no longer valid and, if uncritically accepted as current causes of women's lack of progress, can delay or prevent understanding of contemporary determinants of women's underrepresentation. We conclude that differential gendered outcomes in the real world result from differences in resources attributable to choices, whether free or constrained, and that such choices could be influenced and better informed through education if resources were so directed. Thus, the ongoing focus on sex discrimination in reviewing, interviewing, and hiring represents costly, misplaced effort: Society is engaged in the present in solving problems of the past, rather than in addressing meaningful limitations deterring women's participation in science, technology, engineering, and mathematics careers today. Addressing today's causes of underrepresentation requires focusing on education and policy changes that will make institutions responsive to differing biological realities of the sexes. Finally, we suggest potential avenues of intervention to increase gender fairness that accord with current, as opposed to historical, findings.Item type:Publication, Gender Disparities and Potentials in STEM Approach in Jordan and Saudi Arabia -- An Analytical Literature Review Open PDF(2024) ;Alghneimin, Jehan ;Varga, AttilaKovacs, MonikaIn recent years, the integrated approach of STEM disciplines (Science, Technology, Engineering, and Mathematics) has been adopted in the Middle East to improve students' scientific capacities and their formative thinking. Nevertheless, this approach encounters complications in the application, including many due to gender differences. Middle Eastern women's life and education is affected by conservative constraints and social norms where gender stereotypes and culture impact shared views about specific domains. Research regarding gender has frequently emphasized gender imbalance in virtually all STEM study fields and professions. This study explores STEM education's conceptual framework in Jordan and Saudi Arabia. Likewise, it provides an overview of STEM teachers' practices and their gender perspectives in the classrooms. We investigate the implementations and gender differences in STEM education by scrutinizing relevant literature and studies in the selected countries. The conclusions indicate a shortage of teachers' knowledge in applying STEM education in classrooms and a need for more development programs that qualify teachers for STEM education applications. In addition, the results show that gender disparities are promoted by the education system and teachers who teach STEM subjects in schools because social norms and gender stereotypes influence them.